JP5525909B2 - Information providing apparatus and information providing method - Google Patents

Description

  The present invention relates to an information providing apparatus and an information providing method.

  In recent years, traffic IC cards that can be used as traffic tickets and electronic money have rapidly spread, and various information services using the same have become widespread.

  For example, the technique described in Patent Document 1 describes a method of calculating a moving range and a stay rate in a region from a use history of a traffic IC card and providing regional information to each user.

  In addition, in the technique described in Patent Document 2, the history of the user's position information is accumulated, and the behavior of the referenced person who takes the behavior to accompany the prediction target person is related to the method of predicting the future action of the prediction target person. A behavior prediction method to be referred to is described.

JP 2004-102950 A JP 2010-3024 A

  However, in the method of Patent Document 1, it is not considered to provide information in consideration of whether or not there is a companion. For example, the behavior of people, such as purchasing, varies between when they are alone and when they are accompanied, so in providing promotional information, not only location information and time information, Information about who the accompanying person is and what kind of person (parent, child, friend, lover, etc.) is important. For example, when a middle-aged man is traveling alone during lunch hours, the information on standing soba noodles may meet his needs, but when traveling with his wife or children, it is easy to use with families. I think the restaurant information is more likely to match the needs. In this case, according to the method of Patent Document 1, the information content to be provided cannot be changed according to the presence or absence of the accompanying person or who the accompanying person is.

  In the method of Patent Literature 2, whether or not there is a candidate for accompanying behavior is determined by whether or not there is a behavior that matches the time at which the behavior was performed in the behavior of the prediction target person and the referenced person. Done. Therefore, it may be erroneously determined that the person is a companion even if he / she happens to move side by side with an unacquainted person only for a certain section during movement. Also, if you are with a child who tends to move around frequently away from the parent, it may be erroneously determined that you are not a companion. In addition, when there are n users, the number of combinations for selecting two from among them is n (n-1) / 2. Therefore, for example, when there are 10,000 users, the number of combinations for which the accompanying determination is performed. Will be 4,999,000. If the accompaniment degree based on the measurement coordinates is calculated for all the combinations, the processing time is very long. Therefore, if the accompaniment determination is performed for all the combinations, there is a problem that the processing time is very long.

  An object of this invention is to provide the service according to a user.

  In order to achieve the above object, according to the present invention, in an information providing apparatus that provides information to a user, a ticket gate history information acquisition unit that acquires ticket gate passage history information of a plurality of users who have passed the ticket gate, Extract the ticket pass personal history for each user from the ticket pass history information, extract the ride section from the entrance / exit history information of multiple ticket pass personal history, compare the extracted multiple ride sections, Alternatively, when a user who has passed through a plurality of ticket gates that are partly the same is identified, the information that the user who has passed the ticket gate is a companion is counted, and the frequency of the accompaniment is calculated by the process of counting, If the accompaniment frequency is equal to or greater than the threshold value, the user is identified as a companion of the user, a companion determination unit for determining the relationship between the user and the companion, and a service providing information to the user based on the relationship A part.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the service according to a user.

It is a figure which shows the system configuration example of a present Example. It is a block diagram which shows the process structural example of a present Example. It is a figure which shows the hardware structural example of a companion determination / matching server. It is a flowchart of a companion determination process. It is a figure which shows the structural example of a boarding ticket system utilization log | history table. It is a figure which shows the structural example of a user attribute table. It is a figure which shows the structural example of a ticket gate position table. It is a figure which shows the structural example of a companion table. It is a flowchart of an information delivery process. It is a figure which shows the structural example of a delivery condition and the delivery content table. It is a figure which shows the structural example of a delivery method setting table. It is a figure which shows the example of a display of the information delivered to an information terminal. It is a figure which shows a companion relationship determination table.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram illustrating a configuration example of an information distribution system. The ticket system 1010 accumulates the ticket pass data of the ticket card 1020 when the railway user passes (enters or exits) the automatic ticket gate 1030 using the ticket card 1020 to which the ID is given. A plurality of automatic ticket gates 1030 are installed at a station, for example. Ticket gate passage data from a plurality of automatic ticket gates 1030 are stored in the database of the station server 1040 via the network 1100. The station server 1040 is installed for each station, for example. Ticket gate passage data from a plurality of station servers 1040 is accumulated in the database of the management server 1050 via the network 1110. The management server 1050 is installed for each railway company, for example, and accumulates user ticket gate passage data. Here, the ticket gate passage data is, for example, FIG.

  A companion determination / matching server 1060 determines a companion for each user, distributes appropriate information according to the determination result, and is connected to the management server 1050 via the network 1120 to acquire ticket pass data. . The accompanying person determination / matching server 1060 is connected to an automatic ticket gate or a station server via the network 1100, and acquires event information generated when the automatic ticket gate passes. For example, event information is data including an ID of a ticket card, entry or participation, and a device ID of an automatic ticket gate that has passed (device ID is the name of a terminal) (event information Details will be described later in FIG. 5). Appropriate distribution data is generated according to the determination result of the accompanying person, and then distributed to the information terminal 1070 held by the user via the network 1130 (details of the distribution process will be described later in FIG. 9).

  The configuration of the present embodiment includes, for example, an IC card with an ID of a ticket card 1020, an entrance / exit gate with an IC card reader of an automatic ticket gate 1030, a station server 1040, a management server 1050, and a companion determination / matching server. 1060 is a computer such as a personal computer or workstation, the information terminal 1070 is a mobile terminal such as a mobile phone or a PDA, and the networks 1100, 1110, 1120, and 1130 are realized by Ethernet (registered trademark).

  FIG. 2 is a block diagram illustrating a processing configuration example of the present embodiment. The processing in FIG. 2 is performed by the accompanying person / matching server 1060. The ticket system usage history acquisition means 2010 acquires the ticket card usage history data from the ticket system 1010. The user history acquisition unit 2020 acquires user attribute data of a ticket card from the ticket system 1010. In the user attribute data, the attribute data of the user is stored for each user. The ticket gate position information acquisition unit 2030 acquires the installation order of the automatic ticket gates for each station. Accompanying person determination means 2040 is based on the use history data acquired by the ticket system use history acquisition means, the user attribute data acquired by the user attribute acquisition means, and the ticket gate position information acquired by the ticket gate position information acquisition means 2030. The companion for each user and the relationship with the user are determined and output as companion information. The ticket gate entry / exit event acquisition means 2050 acquires event information that occurs when the ticket gate passes. The matching / distribution means 2060 generates appropriate distribution data to be provided to each user from the accompanying person information calculated by the accompanying person determination means 2040 and the event information acquired from the ticket gate entry / exit event acquisition means. The information is distributed to the information terminal 1070 to be held. Here, the companion determination of each user is performed by collecting ticket gate data on the management server in real time and determining it in a night batch or in real time.

  FIG. 3 is a diagram illustrating a hardware configuration example of the accompanying person determination / matching server 1060. A main control unit 3010 performs hardware control and program execution processing. Reference numeral 3020 denotes an input unit through which a system administrator inputs a program execution start instruction, a stop instruction, and the like. Reference numeral 3030 denotes an output unit that outputs the execution state of the program. Reference numeral 3040 denotes a communication processing unit that exchanges data with other computers. A storage management unit 3050 reads and records programs and data. A communication unit 3060 exchanges data between the above units. The storage management unit 3050 includes a companion determination program 3070, a matching / distribution program 3080, a ticket system usage history table 3090, a user attribute table 3100, a ticket gate position table 3110, and a companion that perform the processing of the block diagram of FIG. A table 3120, a distribution condition / distribution content table 3130, and a distribution method setting table 3140 are stored.

  For example, the main control unit 3010 is a CPU, the input unit 3020 is a keyboard, the output unit 3030 is a liquid crystal display, the communication processing unit 3040 is an Ethernet (registered mark), and the storage management unit 3050 is a hard disk. It can be configured by realizing the communication unit 3060 with Bus.

  Subsequently, FIG. 4 is a flowchart of a companion determination process.

  This is a processing example of a boarding ticket system usage history acquisition unit 2010, a user attribute acquisition unit 2020, a ticket gate position information acquisition unit 2030, and a companion determination unit 2040. First, the ticket system usage history acquisition means 2010 acquires usage history data from the ticket system 1010 and stores it in the ticket system usage history table 3090 (step 4010).

  At this time, all the usage history data (ticket gate passage history information) on the management server 1050 may be acquired, or only the usage history data within a certain period such as the latest three months may be acquired. For details, FIG. 5 shows a configuration example of a ticket system usage history table. For details, FIG. 7 shows a configuration example of the ticket gate position table. Further, after acquiring all the usage history data on the management server 1050, the personal usage history data extracted for each user (for each card ID) may be acquired (the extracted data is referred to as the ticket passing personal history). .

  Next, the companion determination means 2040 uses the same usage history data for the terminal name 5040 in the same or in the vicinity of the same station (for example, up to one on both sides) and the date and time 5020 in the same time zone (for example, date and time). The combination of row data having the same processing name (entrance or participation) is extracted, and a set of card IDs of the row data is created (step 4020).

Next, the companion determination means 2040 accompanies for each set of the card IDs in any section of a series of movements within a certain period of time (for example, one day) from a plurality of entry / exit data in the usage history data. It is determined whether it has been done (step 4030). For example, one day of entry / exit data with a certain card ID
(1) “Date and time: 10:00, process name: entrance, terminal name: railway company X company A station”
(2) “Date and time: 10:40, processing name: participation, terminal name: railway company X company B station”
(3) “Date and time: 10:43, processing name: entrance, terminal name: railway company Y company B station”
(4) “Date and time: 10:52, processing name: participation, terminal name: railway company Y company C station”
(5) “Date and time: 19:30, process name: entrance, terminal name: railway company Y company C station”
(6) “Date and time: 19:44, processing name: participation, terminal name: railway company Y company B station”
(7) “Date and time: 19:47, processing name: entrance, terminal name: railway company X company B station”
(8) “Date and time: 20:30, processing name: participation, terminal name: railway company X company A station”
In this case, the departure point can be identified as around station A and B, and the destination can be identified as around station C.

  Compare this with the entry / exit data on the same day with another card ID. For example, for all entry / exit data of (1) to (8), the date and time are the same at the same or nearby ticket gates at the same station. If there is data with the same process name in the time zone, it can be identified that the user has been accompanied by all travel sections on the way back and forth in the day. Also, for example, only for the entrance / exit data of (1) and (2), if there is data with the same name or the same time zone and the same processing name at the same or nearby ticket gates of the same station, It can be identified that only the travel section to the transfer station is accompanied.

  For example, for the entry / exit data of (5) only, if there is data with the same name or the same time zone and the same processing name at the same or nearby ticket gates of the same station, the return entry It can be identified that only the travel section to the station was accompanied. Here, the extracted plurality of boarding sections are compared, and a process of specifying a user who has passed through the plurality of ticket gates having the same or all of the boarding sections is performed.

  Here, brute force for all combinations of users (for example, when the user is A, B, C, D, E, 10 of AB, AC, AD, AE, BC, BD, BE, CD, CE, DE) If the accompanying determination is performed with a combination of streets, it takes a long processing time, so the accompanying determination is performed for each unit such as a station, a ticket gate, and a time zone. First, for example, the user is divided into groups according to the station name of the terminal name 5040 of the usage history data (for example, user A using station 1 and user C using group 1 and station B using station 2) D and E are group 2). Next, accompany determination is performed for each divided group. In this case, the number of combinations for which the accompany determination is performed is four types of A-C, B-D, B-E, and D-E, and the processing time can be shortened.

  Next, when it is identified by the accompanying person determination means 2040 that the user and the accompanying person have accompanied the user in all travel sections within a certain time (for example, one day) (step 4040), the accompanying person determination means 2040 calculates the accompanying frequency within a certain period (for example, one month) (step 4050). For example, it counts when it recognizes as a companion, and accompaniment frequency is calculated based on it. The accompaniment frequency can be calculated as, for example, the number of days identified as accompanying or the number of days in the target period for each weekday / holiday. For example, even if it is identified that you have been accompanied by all moving sections on a certain day, if the frequency of accompanying one month is below a certain threshold, it may happen that the person who moved is the same, so it will not be regarded as a companion Like that.

  Further, although not corresponding to step 4040, when the accompanying person determining means 2040 identifies that the person has been accompanying a part of the moving section within a certain time (for example, one day) (step 4060), the accompanying person determining means 2040 Further, it is checked whether or not the accompanying frequency within a certain period (for example, one month) is not less than a certain threshold and whether the standard deviation of the date and time at the time of accompanying is not less than a certain threshold (step 4070). Here, when the accompanying frequency is equal to or higher than the threshold, the user is recognized as the accompanying person. For example, in some moving sections, even if the accompanying frequency is above a certain threshold, if the standard deviation of the date and time at the time of accompanying is below a certain threshold, it may happen that the person moves regularly at the same time. Not to be considered a person.

  Accompanying person determination means 2040 is “accompanying in all moving sections within a certain time period and accompanying frequency within a certain period is equal to or greater than a certain threshold” or “accompanying in a certain moving section within a certain period of time, and Accompanying frequency within a certain period is greater than or equal to a threshold value, and the standard deviation of the date and time at the time of the accompaniment is greater than or equal to a threshold value, the user attribute data is obtained from the ticket system, and the user and The card ID of the accompanying person is searched, the attribute information of the corresponding line data is read, and the relationship (parent / child, friend, lover, etc.) between the user and the accompanying person is estimated (step 4080). In this process, the relationship between the user and the accompanying person is determined based on the attribute data (details of the attribute information table are shown in FIG. 6). In the companion determination method, the relationship with the companion may be determined based on the ticket gate history information without depending on the attribute information, and in that case, the user attribute data may not be acquired (details are shown in FIG. 13).

  For example, if the name has the same gender and the same address, it can be estimated that the possibility of parent and child is high. For example, if the regular type is student regular, the school year calculated from the date of birth is the same, and the arrival station of the regular section is the same station closest to the school, it can be estimated that the possibility of a friend is high. Details regarding the relationship determination process will be described later with reference to FIG.

  Next, if there is a card ID that has not been subjected to the determination process in the set of card IDs created in step 4020, the process returns to step 4030 (step 4090), and the accompanying person determination means 2040 performs the determination process for all card IDs. When completed, the processing result is output to the accompanying person table 3120 (step 4100). Details of the accompanying table are shown in FIG.

  FIG. 5 is a configuration example of a ticket system usage history table. The usage history table 3090 includes a ticket card ID 5010, a date and time 5020 when processing is performed using the ticket card, a process name 5030 indicating processing contents such as “entrance”, “participation”, “product purchase”, and “charge”, which automatic It is a list of lines consisting of a terminal name 5040 indicating whether processing has been performed by a ticket gate or a store terminal, and a usage amount 5050 at the time of processing. Row data is added each time a user uses a ticket card. Further, ticket gate position data is acquired from the ticket system and stored in the ticket gate position table 3110.

  FIG. 6 shows a configuration example of the user attribute table. This table is a list of rows consisting of a card ID 6010, a card user name 6020, a gender 6030, a date of birth 6040, an address 6050, a commuter pass section 6060, and a commuter pass type (commuting pass, commuting pass, etc.) 6070. is there. In addition to these items, attribute data such as a card user's telephone number may be included.

  FIG. 7 shows a configuration example of the ticket gate position table. This table includes a station name 7010 where the automatic ticket gate is installed, a ticket gate name 7020 where the automatic ticket gate is installed, an automatic ticket gate installation order (for example, an order from the right side toward the entry direction from the station premises) 7030, It is a list of rows consisting of an installation period 7040. The ticket gate position data may be acquired from an automatic ticket gate or a station server, or may be acquired from a station facility management database or the like.

  FIG. 8 shows a configuration example of the accompanying person table. This table is a list of rows composed of the user card ID 8010, the accompanying card ID 8020, the accompanying section 8030, the accompanying frequency 8040, and the relationship estimation result 8050 between the user and the accompanying user.

  FIG. 9 is a flowchart of the information distribution process. First, the accompanying person table 3120 output in step 4100 is read (step 9010). Note that, for example, the companion table may be created after the daily ticket gate data is collected by the management server (for example, in a batch at night after the last train and before the first train). Next, it waits until a ticket gate entry / exit event is transmitted from the automatic ticket gate 1030 or the station server 1040 or a termination operation is performed by the system administrator (step 9020).

  If there is an end operation, this process ends. When the ticket gate entry / exit event is acquired, the ticket entrance / exit event of the same or in the vicinity of the same station (for example, up to one on both sides) is also acquired within a certain time before and after that (for example, within 3 seconds before and after). It is checked whether or not the card ID included in the acquired ticket entry / exit event is included in the card ID 8010 and the accompanying ID 8020 of the accompanying table (step 9030).

  If not included, it waits until a ticket gate entry / exit event is sent again or an end operation is performed. If included, after reading the corresponding row data, the distribution condition / distribution content table 3130 is read. Details of the distribution condition / distribution content table are shown in FIG. It is checked whether or not there is row data whose attribute information of the user and the accompanying person matches the distribution condition 10010 (step 9040). If there is no matching row data, it waits until the ticket gate entry / exit event is transmitted again or there is an end operation. If there is matching line data, the distribution method setting table 3140 is read to check whether or not a distribution destination address corresponding to the card ID and the distribution method is registered (step 9050). Here, it is checked whether or not the card ID is registered in the distribution method setting table for both the user and the accompanying person.

  For example, if the user card ID of the companion table is 34765 and the companion card ID is 22183, it is checked in order whether 34765 or 22183 is registered in the card ID of the distribution method setting table. As a result of examining all records in the delivery method setting table, if both the user card ID 34765 and the accompanying card ID 22183 are registered in the table, the information will be distributed to both the user and the accompanying person. In order to avoid this, it is possible to distribute to only one of them.

  For example, the records in the distribution method setting table may be searched in order and transmitted to the distribution address of the card ID found earlier. Details of the delivery method setting table are shown in FIG. Here, a process of providing information to the user based on the relationship is performed. If the corresponding distribution destination address is not registered, it waits until a ticket gate entry / exit event is transmitted again or an end operation is performed. If the corresponding distribution destination address is registered, distribution data is created using distribution method 10020 and distribution content 10030 (step 9060). Details of the distribution data are shown in FIG. After transmitting the created distribution data, it waits until a ticket gate entry / exit event is transmitted again or an end operation is performed.

  FIG. 10 shows a configuration example of the distribution condition / distribution content table. This table is a list of rows including a distribution condition 10010, a distribution method 10020, and distribution content 10030. As the delivery condition, a condition such as “family with a holiday accompanying frequency of 30% or more” can be designated. As a delivery method, e-mail transmission to a mobile terminal, short message transmission to a mobile terminal, and the like can be specified. Text, URL, still image, audio, video, program, etc. can be specified as distribution content.

  FIG. 11 shows a configuration example of the distribution method setting table. This table is a list of rows including a card ID 11010 of a transportation IC card, an information distribution method 11020 to a user, and a distribution destination address 11030. Each user registers his / her favorite delivery method and delivery address in advance. As information distribution methods to users, e-mail transmission to a mobile terminal, short message transmission to a mobile terminal, transmission to an information display screen installed in a station premises, etc. can be specified. As the delivery destination address, for example, if the information delivery method to the user is email transmission, an email address is designated.

  FIG. 12 shows an example of distribution data to be created. For example, if it is estimated that the user is moving with the family, as shown at 12010, nearby restaurant information that can be used by the family is distributed. Further, for example, when it is estimated that the user is traveling with the lover, as shown at 12020, the store information that sells sweets with a high purchase tendency is distributed when accompanying the lover.

  FIG. 13 shows a configuration example of a companion relationship determination table. This table is a list of rows consisting of a determination condition 13010 for determining a companion relationship and a determination result 13020 of the companion relationship when the condition is met. The relationship with the accompanying person is determined by the boarding section and attribute information. As shown in FIG. 13, for example, if the fare of the accompanying person is a child fare, the fare is determined to be a parent and child, the gender is different, and the surname of the name Are different, the address is different, and the age difference is within 20 years old, it is determined as a lover.

  As described above, in this embodiment, the processing example in the case where the accompanying person is determined based on the passing time / passing direction and the passing ticket position of the ticket gate has been described. However, the present invention is not limited to this. For example, the time and place at the time of purchasing electronic money, the time and place at the time of depositing the transportation IC card, the time and place at the time of payment processing at a station staff counter or an automatic payment machine, You may make it determine accompanying persons also including information, such as time and a place when an information terminal is touched by stamp rally or coupon acquisition.

  Further, in the present embodiment, a description has been given of a processing example in the case where the accompanying determination is performed according to whether the accompanying frequency is greater than a certain threshold or whether the standard deviation of the date and time at the time of the accompanying is greater than a certain threshold. Here, a certain threshold value is not limited to a fixed value, and may be a variable value. For example, if it is a movement section or time zone where there are many users, there is a high possibility that there will be people who happen to have the same movement, so the threshold can be made variable according to the congestion rate in the movement section or time period. Also good.

  In the present embodiment, the processing example in the case where the distribution data is generated based only on the accompanying information has been described. However, the present invention is not limited to this. For example, appropriate distribution data may be generated according to other attribute information (age, gender, usage frequency, etc.) and accompanying information.

  Further, in the present embodiment, the processing example in the case where information distribution is performed to the mobile terminal possessed by each user as the service content to be provided has been described. However, the present invention is not limited to this. For example, information distribution may be performed using a display on an automatic ticket gate or an information display installed in a station. In addition, as information providing destinations, information on users and accompanying persons may be provided to service providers such as station nakas and stores around the station. In addition, as a service content, for example, in the case of a family, a service may be provided such as recommending a reserved seat vehicle or a green car.

  Further, in the present embodiment, the processing example in the case of distributing information triggered by event information generated when passing through the automatic ticket gate has been described. However, the present invention is not limited to this. For example, the purchase tendency (number of times, amount, product category, etc.) when there is no accompanying person and when there is a specific accompanying person is totaled, and the result of the aggregation is analyzed by customers. You may make it provide regularly to a service provider as data.

  In this embodiment, by calculating the stay rate around the station for each hour as personal action range data from the usage history of the traffic IC card, which is a set of location information and time information of the moving individual, and matching with the regional information Information suitable for each user can be provided.

  In addition, according to the present embodiment, information on the accompanying person who has moved together for each user is calculated from the use history information acquired from the ticket system of the transportation facility, and each user is determined according to the accompanying person information. By providing an appropriate service, it is possible to provide a service that matches the needs of each user and accompanying person. In addition, by calculating the companion's information using which section of a series of movements within a certain period of time and the frequency of being together in a certain period of time, the accompaniment judgment can be made using only the distance. Compared with the case where it performs, the determination precision can be improved. Furthermore, in the conventional method using GPS or the like, there is a problem that it is necessary to transmit coordinate information from a mobile terminal possessed by the user, so that there is a problem that battery consumption is accelerated and a communication fee is charged. Since the traffic IC card is used in the example system, these problems do not occur. Furthermore, the conventional method using Bluetooth or the like has a problem that the radio reachable range is relatively narrow, so that a large number of access points are required to measure coordinate information, and the construction cost is high. This method uses an automatic ticket gate compatible with a traffic IC card that is already widely used in railway stations, so the construction cost can be reduced.

  DESCRIPTION OF SYMBOLS 1010 ... Ticket system, 1020 ... Ticket card, 1030 ... Automatic ticket gate, 1040 ... Station server, 1050 ... Management server, 1060 ... Accompanying person judgment and matching server, 1070 ... Information terminal, 1100, 1110, 1120, 1130 ... Network 2010 Ticket system usage history acquisition means 2020 User attribute acquisition means 2030 Ticket gate position information acquisition means 2040 Accompanying person determination means 2050 Ticket entrance / exit event acquisition means 2060 Matching / distribution means , 3010 ... main control unit, 3020 ... input unit, 3030 ... output unit, 3040 ... communication processing unit, 3050 ... storage management unit, 3060 ... communication unit, 3070 ... companion determination program, 3080 ... matching / distribution program, 3090 ... Ticket system usage history table, 3100 User attribute table, 3110 ... wicket position table, 3120 ... travel companions table, 3130 ... delivery conditions and delivery table of contents, 3140 ... delivery method setting table

Claims (11)

In an information providing device that provides user information to a service provider,
A ticket gate history information acquisition unit for acquiring a plurality of user information including at least ticket gate passage history information of a plurality of users who have passed the ticket gates;
A user attribute acquisition unit for acquiring the attribute information of the user;
A companion relationship determination storage unit that stores determination conditions for determining a companion relationship based on the ticket gate passage history information and the attribute information of the user;
Extracting the ticket passing personal history for each user from the ticket passing history information, extracting a boarding section from the entrance / exit history information of the plurality of ticket passing personal histories, comparing the extracted plurality of boarding sections, When a user who has passed through a plurality of the ticket gates having the same or a part of the boarding section is identified,
When the ticket passing history information counts information that the user who has passed the ticket gate is a companion, calculates the accompaniment frequency by the processing of the count, and the accompaniment frequency is equal to or greater than a threshold, the user And the user and the accompanying person based on the ticket passing history information, the attribute information of the user, and the determination condition stored in the accompanying relationship determination storage unit. A companion determination unit for determining the relationship between
An information providing apparatus comprising: a service providing unit that provides the user information to the service provider based on the relationship. The information providing apparatus according to claim 1 ,
Among the plurality of user information, the entry / exit history information included in the ticket gate passage history information is a boarding section and an entry / exit time,
The companion determination unit compares a plurality of the riding sections included in the ticket gate passage history information among the extracted user information, and when a part of the riding sections is the same, The information providing apparatus is characterized in that the entry / exit time is extracted, and when the standard deviation of the entry time or the entry time within a certain period is equal to or greater than a threshold, the information is provided as a companion of the user. In the information provision apparatus as described in any one of Claim 1 or 2 ,
Of the user information, the ticket gate passage history information is information including a user ID, a station that has passed the ticket gate, a date and time that has passed the ticket gate, and installation position information of the ticket gate,
The ticket gate and the passage personal history, is information obtained by extracting the information of each of the user from the ticket gate passage history information,
The companion determination unit compares the same or neighboring ticket gate information of a plurality of the same station, and when a plurality of users who have passed the ticket gate that is the same or neighboring ticket information of the same station is identified, An information providing apparatus for determining a relationship between a user and the specified user. In the information provision device according to any one of claims 1 to 3 ,
The information providing apparatus, wherein the service providing unit provides information to either the user or the accompanying person. In the information provision apparatus of Claim 1 to 2 or 4 ,
The companion determination unit among the user information, from the boarding section included in the ticket gate passage history information, it calculates the travel section of the user and the bank's within a certain period of time, from the bank section An information providing apparatus for determining the relationship. In the information provision apparatus of Claim 3 ,
The companion determination unit, when the relationship between the user has been identified, the more the boarding section, calculates the travel section of the user and the bank's within a certain period of time, the relationship from the bank section An information providing apparatus for determining In the information provision apparatus of Claim 1 to 2 or 4 ,
The accompanying person determination unit calculates the accompanying frequency within a certain period, and determines the relationship from the accompanying frequency. In the information provision device according to claim 3 , 5 or 6 ,
The companion determination unit, in addition to the boarding section further calculates the travel frequency in the predetermined period, the information providing apparatus characterized by determining the relationship from the boarding section and the accompanying frequency. In the information provision device according to any one of claims 1 to 8 ,
The wicket history information acquisition unit may further acquire the purchase information for each said user included in the user information,
Obtaining purchase information when the accompanying person determination unit determines the accompanying person of the user and purchasing information when determining that the user does not have the accompanying person, calculating a purchase tendency,
The information providing apparatus, wherein the service providing unit provides the information based on the purchase tendency. In the information provision apparatus of Claim 9 ,
The service providing unit includes the information on the user, the information on the accompanying person, the purchasing information when determining the accompanying person of the user, and the purchasing information when determining that the user does not have the accompanying person. An information providing apparatus that provides information to the user by combining any one or a plurality of relationships between the user and the accompanying person. An information providing method in an information providing apparatus comprising a ticket gate history information acquisition unit, a user attribute acquisition unit, a companion relationship determination storage unit, a companion determination unit, and a service providing unit,
Preliminarily storing determination conditions for determining the relationship of the accompanying person based on the user's ticket gate passage history information and attribute information in the accompanying person relationship determination storage unit;
The ticket gate history information acquisition unit acquires a plurality of user information including at least ticket gate passage history information of a plurality of users who have passed the ticket gates;
The user attribute acquisition unit acquires the user attribute information; and
The accompanying person determination unit extracts the ticket pass personal history for each user from the ticket pass history information,
A boarding section is extracted from the entrance / exit history information of the plurality of ticket gate passing individual histories, and the plurality of boarding sections extracted are compared,
When a user who has passed through a plurality of the ticket gates having the same or a part of the boarding section is identified,
From the ticket gate passage history information, the information that the user who has passed the ticket gate is a companion is calculated, and the accompanying frequency is calculated by the processing of the count,
If the accompanying frequency is greater than or equal to a threshold,
The user is authorized as a companion, and further based on the ticket gate passage history information, the attribute information of the user, and the determination condition stored in the companion relationship determination storage unit, Determining a relationship with the companion;
The service providing unit includes a step of providing the user information to the service provider based on the relationship.

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